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Featured Final Year Projects
[1CP0624] Sales Forecasting for Walmart Using Machine Learning Techniques with Python
This project aims to predict Walmart’s future sales by analyzing historical sales data using machine learning techniques. It helps in identifying sales patterns, optimizing inventory, and improving business decision-making.
[1CP0620] Detection of Malaria in Python Using Logistic Regression and Convolutional Neural Networks (CNN) with Deep Learning Techniques
This project detects malaria infection from blood cell images using Logistic Regression and Convolutional Neural Networks (CNN) in Python. It aims to provide fast and accurate diagnosis support for medical practitioners.
[1CP0618] Forecasting Stock Market Trends Using Machine Learning and Deep Learning Algorithms with Python
This project focuses on predicting stock market trends by analyzing historical data using machine learning and deep learning algorithms. It aims to assist investors in making informed financial decisions based on data-driven insights.
[1CP0617] A Survey Analysis of Insurance Datasets in E-commerce Utilizing Machine Learning Techniques with Python
A survey-based machine learning analysis is performed on an e-commerce insurance dataset to understand customer purchase behavior and identify key factors influencing insurance buying decisions.
[1CP0616] Recognition of Handwritten Line Text Through Deep Learning and Flask Framework Utilizing Python
This project focuses on automatically recognizing handwritten text from scanned lines using deep learning models such as CNNs and RNNs. It improves text extraction accuracy by learning writing variations and enables real-time recognition through a simple and efficient system.
[1CP0614] Evaluation-Based Methods for Predicting Liver Disease Using Machine Learning Algorithms with Python
This project focuses on predicting liver disease using machine learning algorithms by analyzing medical and clinical data. It evaluates multiple models to identify the most accurate and reliable approach for early diagnosis.
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